期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 17, 期 2, 页码 1038-1052出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2017.2773532
关键词
Millimeter wave communications; beam-selection; out-of-band information; weighted compressed sensing; structured random codebooks
资金
- U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning University Transportation Center
- Texas Department of Transportation [0-6877]
- National Science Foundation [1711702]
- Spanish Government
- European Regional Development Fund through the Project MYRADA [TEC2016-75103-C2-2-R]
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1711702] Funding Source: National Science Foundation
Millimeter wave (mmWave) communication is one feasible solution for high data-rate applications like vehicular-to-everything communication and next generation cellular communication. Configuring mmWave links, which can be done through channel estimation or beam-selection, however, is a source of significant overhead. In this paper, we propose using spatial information extracted at sub-6 GHz to help establish the mmWave link. Assuming a fully digital architecture at sub-6 GHz; and an analog architecture at mmWave, we outline a strategy to extract spatial information from sub-6 GHz and its use in mmWave compressed beam-selection. Specifically, we formulate compressed beam-selection as a weighted sparse signal recovery problem, and obtain the weighting information from sub-6 GHz channels. In addition, we outline a structured precoder/combiner design to tailor the training to out-of-band information. We also extend the proposed out-of-band aided compressed beam-selection approach to leverage information from all active subcarriers at mmWave. To simulate multi-band frequency dependent channels, we review the prior work on frequency dependent channel behavior and outline a multi-frequency channel model. The simulation results for achievable rate show that out-of-band aided beam-selection can considerably reduce the training overhead of in-band only beam-selection.
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